Richard Davison (is/eius/eī/eum/eō) @richarddavison
Tempus fugit. github.com/rdavison New York, NY Joined December 2008-
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This is off the scale brilliant. ♥️🎶
I just sponsored roc-lang. Go sponsor your open source dependencies! github.com/sponsors/roc-l…
Away Team Discovers Earth's Deepest Fish astrobiology.com/2023/04/away-t… #AwayTeam #Astrobiology #Submersible #ROV FYI @dylan Taylor @AlanStern @VictorVescovo @RichardGarriott @vobonline @AstroDocScott @minwadhwa @ExplorersClub
HARMONY OF RESILIENCE: Recorded in space and sent to Earth via @SpaceX’s @Starlink constellation, Polaris Dawn crewmember and violinist @Gillis_SarahE invites you to enjoy this music moment in support of @StJude & @ElSistemaUSA → polarisprogram.com/music
It's our great pleasure to announce the release of ReScript 11.1! This release brings a ton of new features and improvements: - Tagged template literals - JSX for more than React - Native BigInt support - Array spread syntax - %todo annotation for incomplete code ...and more🎉
𝙒𝙝𝙖𝙩 𝙥𝙚𝙧𝙩𝙪𝙧𝙗𝙖𝙩𝙞𝙤𝙣 𝙙𝙖𝙩𝙖𝙨𝙚𝙩𝙨 𝙘𝙖𝙣 𝙖𝙨𝙨𝙞𝙨𝙩 𝙞𝙣 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙𝙞𝙣𝙜 𝙝𝙪𝙢𝙖𝙣 𝙙𝙞𝙨𝙚𝙖𝙨𝙚 𝙖𝙣𝙙 𝙞𝙙𝙚𝙣𝙩𝙞𝙛𝙮𝙞𝙣𝙜 𝙣𝙤𝙫𝙚𝙡 𝙩𝙝𝙚𝙧𝙖𝙥𝙚𝙪𝙩𝙞𝙘𝙨? Follow the link to learn more👇 hubs.ly/Q02spnJj0
@FFmpeg @Microsoft @MicrosoftTeams It's atrocious the way that these companies will pay people double- and triple-six-fig salaries for what are essentially "email jobs" but suddenly they're all about penny pinching the minute they need work done on projects they depend on.
𝘽𝙚𝙣𝙘𝙝𝙢𝙖𝙧𝙠𝙞𝙣𝙜 𝘿𝙖𝙩𝙖𝙨𝙚𝙩𝙨 𝙛𝙤𝙧 𝙏𝙧𝙖𝙣𝙨𝙘𝙧𝙞𝙥𝙩𝙤𝙢𝙚 𝘼𝙣𝙖𝙡𝙮𝙨𝙚𝙨 𝙛𝙧𝙤𝙢 𝙇𝙤𝙣𝙜-𝙧𝙚𝙖𝙙 𝙎𝙚𝙦𝙪𝙚𝙣𝙘𝙞𝙣𝙜 𝙙𝙖𝙩𝙖 Follow the link to learn more👇 hubs.ly/Q02q64WW0
𝙃𝙤𝙬 𝙙𝙤 𝙗𝙚𝙣𝙘𝙝𝙢𝙖𝙧𝙠 𝙙𝙖𝙩𝙖𝙨𝙚𝙩𝙨 𝙞𝙢𝙥𝙖𝙘𝙩 𝙩𝙝𝙚 𝙞𝙙𝙚𝙣𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙤𝙛 𝙘𝙡𝙞𝙣𝙞𝙘𝙖𝙡𝙡𝙮 𝙨𝙞𝙜𝙣𝙞𝙛𝙞𝙘𝙖𝙣𝙩 𝙫𝙖𝙧𝙞𝙖𝙣𝙩𝙨? Learn more in the following link👇 hubs.ly/Q02nmsnr0
𝙒𝙝𝙞𝙘𝙝 𝙖𝙙𝙫𝙖𝙣𝙘𝙚𝙨 𝙞𝙣 𝙗𝙞𝙤𝙞𝙣𝙛𝙤𝙧𝙢𝙖𝙩𝙞𝙘𝙨 𝙝𝙖𝙫𝙚 𝙚𝙢𝙥𝙤𝙬𝙚𝙧𝙚𝙙 𝙖𝙘𝙘𝙪𝙧𝙖𝙘𝙮 𝙞𝙣 𝙫𝙖𝙧𝙞𝙖𝙣𝙩 𝙘𝙖𝙡𝙡𝙞𝙣𝙜? Follow the link and learn more👇 hubs.ly/Q02mx0JZ0
The PanGenome Research Tool Kit is a versatile graph framework software. It allows for the mapping of linear sequences onto a reference genome represented as a graph, accommodating different scales. To learn more about its capabilities 👇 hubs.ly/Q02lND_q0
The human pangenome enables more precise analysis of clinically relevant genetic variation. This is a major step forward in our understanding of human genetics, offering a comprehensive view of genetic variation across diverse populations. To learn more👇 hubs.ly/Q02l24Mr0
Multiple Myeloma patients often relapse post-BCMA CAR-T therapy due to limited CAR-T cell persistence. ScRNA-seq analysis can uncover persistence mechanisms, aiding CAR-T optimization for sustained responses. To learn more 👇 hubs.ly/Q02k8WpD0
𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝙞𝙣 𝙫𝙞𝙫𝙤 𝗳𝗮𝘁𝗲 𝗼𝗳 𝗖𝗔𝗥-𝗧 𝗰𝗲𝗹𝗹𝘀 𝗮𝗳𝘁𝗲𝗿 𝗶𝗻𝗳𝘂𝘀𝗶𝗼𝗻? Click the link to learn more👇 hubs.ly/Q02jkJlg0
CAR-T/BCMA therapy drastically enhanced the survival of relapsed/refractory multiple myeloma patients. However, high relapse rates and short remission times call for a more profound exploration. scRNAseq can offer valuable mechanistic insights. Learn how👇 hubs.ly/Q02hyXbz0
CAR-T therapy is an emerging treatment option of high potential for B cell malignancies. Single-cell RNA-seq bioinformatics can help in target prediction for CAR-T and accelerate its promising success. To learn more👇 hubs.ly/Q02gM-B10
Happy Holidays from @solvuu! This season, we celebrate not only the festivities but also the remarkable milestones we've achieved together. Thank you for being a part of our journey. Here's to a prosperous and joyful New Year ahead!
Our global team is growing! We are thrilled to welcome @yachna_jn. Yachna is an experienced Bioinformatics Engineer and she joins us following bioinformatics roles in advancing personalized genomics at @velseraofficial and @pieriandx. To learn more 👇 linkedin.com/feed/update/ur…
𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝗹 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘂𝘀𝗲 𝗼𝗳 𝙞𝙣 𝙨𝙞𝙡𝙞𝙘𝙤 𝗱𝗮𝘁𝗮 𝘄𝗶𝘁𝗵𝗶𝗻 𝗮 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘆? Learn more by clicking the link👇 linkedin.com/feed/update/ur…
While SNVs and short indels (<15 bp) are the most common types of variants laboratories currently model using 𝘪𝘯 𝘴𝘪𝘭𝘪𝘤𝘰 data, other genomic changes, assessments, and platforms are less commonly utilized in clinical assay validation: 1/3🧵

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